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Healthcare Cloud Integration using Distributed Cloud Storage and Hybrid Image Compression

by Sherif E. Hussein, Sherif M. Badr
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 80 - Number 3
Year of Publication: 2013
Authors: Sherif E. Hussein, Sherif M. Badr
10.5120/13839-1268

Sherif E. Hussein, Sherif M. Badr . Healthcare Cloud Integration using Distributed Cloud Storage and Hybrid Image Compression. International Journal of Computer Applications. 80, 3 ( October 2013), 9-15. DOI=10.5120/13839-1268

@article{ 10.5120/13839-1268,
author = { Sherif E. Hussein, Sherif M. Badr },
title = { Healthcare Cloud Integration using Distributed Cloud Storage and Hybrid Image Compression },
journal = { International Journal of Computer Applications },
issue_date = { October 2013 },
volume = { 80 },
number = { 3 },
month = { October },
year = { 2013 },
issn = { 0975-8887 },
pages = { 9-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume80/number3/13839-1268/ },
doi = { 10.5120/13839-1268 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:53:33.027897+05:30
%A Sherif E. Hussein
%A Sherif M. Badr
%T Healthcare Cloud Integration using Distributed Cloud Storage and Hybrid Image Compression
%J International Journal of Computer Applications
%@ 0975-8887
%V 80
%N 3
%P 9-15
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In recent years, the development and demand of multimedia product grows increasingly fast, contributing to insufficient bandwidth of network and storage of memory device. Therefore, the theory of data compression became more significant for reducing data redundancy to save more hardware space and transmission bandwidth. Cloud computing on the other hand; provides elastic services, high performance and scalable data storage to a large and everyday increasing number of healthcare users. Today, clouds are mainly used for handling highly intensive computing workloads and for providing very large data storage facilities. Both goals are combined with a third goal of potentially reducing healthcare data storage cost. In this research, distributed cloud storage that can interact with many cloud providers was used as a backend while hybrid image compression/decompression technique was used in the front end.

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Index Terms

Computer Science
Information Sciences

Keywords

Distributed cloud storage image compression healthcare data

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